Best AI tools for< Support Agents >

SiteGPT is a customer support chatbot that can be trained on your website content. It can answer questions, provide support, and even generate leads. SiteGPT is easy to use and integrates with your favorite tools. With SiteGPT, you can provide 24/7 support to your customers without having to hire a large team of support agents.

Triplo AI is an AI-powered assistant designed to enhance productivity by providing real-time assistance, content generation, translation services, and automation functionalities. It offers a suite of versatile features tailored to meet diverse needs, such as SmartPrompts, Custom SmartPrompts, and Context-Aware Translations. Users can access Triplo AI on various operating systems and devices, including Windows, Mac, Linux, Android, iOS, and Chromebook, making it a versatile tool for professionals across different industries.

Ringly.io is an AI-powered phone support solution designed specifically for e-commerce businesses. It offers a range of features to help businesses automate their customer service operations, including the ability to personalize AI customer support agents, answer customer questions with AI, initiate calls to customers with abandoned carts, automatically inform customers about order tracking status, and speak with thousands of people at the same time. Ringly.io also provides an analytics dashboard to help businesses track their progress and identify areas for improvement.

Tidio is an AI-powered customer service solution that helps businesses automate support, convert more leads, and increase revenue. With Lyro AI Chatbot, businesses can answer up to 70% of customer inquiries without human intervention, freeing up support agents to focus on high-value requests. Tidio also offers live chat, helpdesk, and automation features to help businesses provide excellent customer support and grow their business.

Tray.ai is an AI-ready iPaaS (Integration Platform as a Service) that empowers businesses to seamlessly integrate and automate AI technologies. It offers a composable platform for building intelligent agents, delivering microservices, and ensuring scalability and governance. With Tray.ai, users can accelerate integration and automation delivery, infuse AI into business processes, and leverage AI data integration securely. The platform enables various use cases such as automating IT onboarding, lead management, embedded integrations, support agents, and order-to-cash processes.

Observe.AI is a conversation intelligence software designed for contact centers, offering a suite of AI-powered tools to enhance customer interactions, support agents in real-time, and improve overall customer satisfaction. The platform combines advanced analytics, automation, and real-time assistance to drive continuous improvement and boost operational efficiency. Trusted by over 350 enterprises worldwide, Observe.AI helps businesses transform customer conversations into actionable insights, leading to measurable results such as increased sales conversions, improved compliance adherence, and enhanced customer sentiment.

AI Screenwriter is an AI-powered screenwriting tool designed to assist users in writing film scripts, story outlines, and character sheets. It offers advanced technology to help users brainstorm, structure, and write their stories while providing valuable insights and suggestions from the AI. The tool aims to eliminate writer's block and enhance the screenwriting process, making it faster and more efficient. AI Screenwriter is supported by industry experts and offers multilingual support, allowing users to write in their native language. The tool also provides responsive human support agents for seamless communication and a Realtime Output feature for instant feedback and inspiration.

DHTMLX is a JavaScript/HTML5 UI framework that offers a wide range of user-friendly AI chatbot and other UI components. It provides feature-rich libraries for project management, data analysis, content management, and more. DHTMLX is known for its easy customization, simple API, and extensive documentation, making it a popular choice for web developers worldwide.

Fini is an AI application that turns your knowledge base into an AI chat in just 2 minutes. It helps businesses supercharge their customer support by resolving 70% of customer questions with AI agents, saving costs, and keeping customers happy. Fini securely integrates with private data and provides AI agents ready 24/7 to solve customer queries on platforms like Zendesk, Slack, and Discord. It also helps growth teams at PLG companies identify reasons for churn and deliver personalized experiences to retain existing customers.

This application is an AI-powered developer relations agent that can automate and consolidate manual developer support. It can automate onboarding and support for developers, and provide insights to improve documentation. The application is trained on technical developer documentation to automate repetitive questions, leading to cost savings, reduced response waiting time, and increased automation of support requests.

Ultimate is a customer support automation platform powered by Generative AI. It offers AI-powered chat automation and ticket automation solutions for various industries such as Ecommerce, Financial Services, Travel, Telecommunications, and Healthtech. UltimateGPT is a bot that integrates with help centers to build bots in minutes. The platform provides backend integrations, analytics, and insights to enhance customer support processes and drive business growth.

Chatsimple is an AI Copilot Chatbot Builder Platform that transforms websites into intelligent sales agents. It offers personalized agents for every visitor, supports over 175 languages, and provides proactive engagement with potential buyers. Chatsimple helps businesses increase engagement, drive sales meetings, capture leads, and offer personalized responses to visitors, ultimately enhancing customer experience and boosting conversions.

Zenbots is a Zendesk AI chatbot that provides dedicated Zendesk support with access to all of your Zendesk support articles. It is designed to speed up operations, assist agents, or even let customers solve problems on their own. Zenbots can be integrated into existing workflows with just a few clicks and can be set up in under 24 hours. It offers a free 7-day trial.

ResolveAI is a platform that allows users to create and train AI agents for customer service. These agents can be used to automate tasks such as answering FAQs, scheduling meetings, and collecting leads. ResolveAI's agents are trained using a variety of sources, including documents, website pages, and live data sources. Once trained, agents can be customized to fit the user's brand and integrated with a variety of platforms, including websites, social media, and messaging apps.

Converso is an AI-powered customer support platform that enables businesses to connect their own AI Assistant with a shared team inbox, thereby automating first-line customer support and reducing workload for front-line agents. AI Assistants can be connected to different channels, such as webchat, WhatsApp, SMS, and conversations can be transferred to a human agent in the event that the query is too complex for the AI Assistant to manage. Converso also enables outbound conversations via WhatsApp and SMS, managed via the same inbox, for proactive customer engagement.

RoboResponseAI is a proactive AI chatbot customized for businesses, designed to initiate conversations, take feedback, and drive lead conversions. It offers features such as lead conversion guidance, recruitment assistance, quick chatbot training, interactive ad campaigns, and seamless integration with various platforms. The application aims to enhance customer engagement, streamline support processes, and improve lead generation for businesses of all types.

Autocalls.ai is an AI-powered solution that automates business phone calls using artificial intelligence. It offers a seamless, fast, and efficient way to handle customer support calls. The platform allows users to create and manage phone call campaigns, access call history and analysis, view detailed reports, and integrate with existing CRM and ERP systems. Autocalls.ai ensures precise and efficient call management, reduces human errors, improves customer satisfaction, and provides 24/7 availability. With features like natural voices, multilingual support, and sentiment analysis, it enhances communication experiences for customers. The tool is scalable, adapts to various business needs, and offers benefits such as process efficiency, cost reduction, and quick response times.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

ResponseCX is an AI tool designed for Shopify brands to build autonomous AI Agents for customer support. It enables fast-growing ecommerce organizations to deploy custom AI agents in record time, providing a dedicated AI engineer to assist in the process. ResponseCX allows brands to consolidate all platforms into one place to create customized, on-brand AI Agents capable of fully autonomous ticket resolution. The tool offers features such as fast learning, fast deployment, 100% uptime, and unlimited ticket volume, leading to significant cost reductions and improved customer satisfaction.

IntegraBot is an advanced AI platform that allows users to develop AI chatbots without coding. Users can choose from different AI models, integrate tools and APIs, and train their agents with company data. The platform offers features like creating custom tools, importing data, and integrating with various applications. IntegraBot ensures data security, compliance with regulations, and provides best practices for AI usage.

Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.

Mountain GOAP is a generic C# GOAP (Goal Oriented Action Planning) library for creating AI agents in games. It favors composition over inheritance, supports multiple weighted goals, and uses A* pathfinding to plan paths through sequential actions. The library includes concepts like agents, goals, actions, sensors, permutation selectors, cost callbacks, state mutators, state checkers, and a logger. It also features event handling for agent planning and execution. The project structure includes examples, API documentation, and internal classes for planning and execution.

AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools.

RAI is a framework designed to bring general multi-agent system capabilities to robots, enhancing human interactivity, flexibility in problem-solving, and out-of-the-box AI features. It supports multi-modalities, incorporates an advanced database for agent memory, provides ROS 2-oriented tooling, and offers a comprehensive task/mission orchestrator. The framework includes features such as voice interaction, customizable robot identity, camera sensor access, reasoning through ROS logs, and integration with LangChain for AI tools. RAI aims to support various AI vendors, improve human-robot interaction, provide an SDK for developers, and offer a user interface for configuration.

HybridAGI is the first Programmable LLM-based Autonomous Agent that lets you program its behavior using a **graph-based prompt programming** approach. This state-of-the-art feature allows the AGI to efficiently use any tool while controlling the long-term behavior of the agent. Become the _first Prompt Programmers in history_ ; be a part of the AI revolution one node at a time! **Disclaimer: We are currently in the process of upgrading the codebase to integrate DSPy**

This repository contains code for building cooperative embodied agents modularly with large language models. The agents are trained to perform tasks in two different environments: ThreeDWorld Multi-Agent Transport (TDW-MAT) and Communicative Watch-And-Help (C-WAH). TDW-MAT is a multi-agent environment where agents must transport objects to a goal position using containers. C-WAH is an extension of the Watch-And-Help challenge, which enables agents to send messages to each other. The code in this repository can be used to train agents to perform tasks in both of these environments.

Council is an open-source platform designed for the rapid development and deployment of customized generative AI applications using teams of agents. It extends the LLM tool ecosystem by providing advanced control flow and scalable oversight for AI agents. Users can create sophisticated agents with predictable behavior by leveraging Council's powerful approach to control flow using Controllers, Filters, Evaluators, and Budgets. The framework allows for automated routing between agents, comparing, evaluating, and selecting the best results for a task. Council aims to facilitate packaging and deploying agents at scale on multiple platforms while enabling enterprise-grade monitoring and quality control.

The Arcade Learning Environment (ALE) is a simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games. It is built on top of the Atari 2600 emulator Stella and separates the details of emulation from agent design. The ALE currently supports three different interfaces: C++, Python, and OpenAI Gym.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

Godot RL Agents is an open-source package that facilitates the integration of Machine Learning algorithms with games created in the Godot Engine. It provides interfaces for popular RL frameworks, support for memory-based agents, 2D and 3D games, AI sensors, and is licensed under MIT. Users can train agents in the Godot editor, create custom environments, export trained agents in ONNX format, and utilize advanced features like different RL training frameworks.

LiveKit Agents for Node.js is a framework designed for building realtime, programmable voice agents that can see, hear, and understand. It includes support for OpenAI Realtime API, allowing for ultra-low latency WebRTC transport between GPT-4o and users' devices. The framework provides concepts like Agents, Workers, and Plugins to create complex tasks. It offers a CLI interface for running agents and a versatile web frontend called 'playground' for building and testing agents. The framework is suitable for developers looking to create conversational voice agents with advanced capabilities.

AgentScope is a multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: Easy-to-Use, High Robustness, and Actor-Based Distribution. AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs, including OpenAI API, DashScope API, Gemini API, and ollama. It also enables developers to rapidly deploy local model services using libraries such as ollama (CPU inference), Flask + Transformers, Flask + ModelScope, FastChat, and vllm. AgentScope supports various services, including Web Search, Data Query, Retrieval, Code Execution, File Operation, and Text Processing. Example applications include Conversation, Game, and Distribution. AgentScope is released under Apache License 2.0 and welcomes contributions.

The LiveKit Agent Framework is designed for building real-time, programmable participants that run on servers. Easily tap into LiveKit WebRTC sessions and process or generate audio, video, and data streams. The framework includes plugins for common workflows, such as voice activity detection and speech-to-text. Agents integrates seamlessly with LiveKit server, offloading job queuing and scheduling responsibilities to it. This eliminates the need for additional queuing infrastructure. Agent code developed on your local machine can scale to support thousands of concurrent sessions when deployed to a server in production.

Shinkai apps unlock the full capabilities/automation of first-class LLM (AI) support in the web browser. It enables creating multiple agents, each connected to either local or 3rd-party LLMs (ex. OpenAI GPT), which have permissioned (meaning secure) access to act in every webpage you visit. There is a companion repo called Shinkai Node, that allows you to set up the node anywhere as the central unit of the Shinkai Network, handling tasks such as agent management, job processing, and secure communications.

The Bee Agent Framework is an open-source tool for building, deploying, and serving powerful agentic workflows at scale. It provides AI agents, tools for creating workflows in Javascript/Python, a code interpreter, memory optimization strategies, serialization for pausing/resuming workflows, traceability features, production-level control, and upcoming features like model-agnostic support and a chat UI. The framework offers various modules for agents, llms, memory, tools, caching, errors, adapters, logging, serialization, and more, with a roadmap including MLFlow integration, JSON support, structured outputs, chat client, base agent improvements, guardrails, and evaluation.

Composio is a production-ready toolset for AI agents that enables users to integrate AI agents with various agentic tools effortlessly. It provides support for over 100 tools across different categories, including popular softwares like GitHub, Notion, Linear, Gmail, Slack, and more. Composio ensures managed authorization with support for six different authentication protocols, offering better agentic accuracy and ease of use. Users can easily extend Composio with additional tools, frameworks, and authorization protocols. The toolset is designed to be embeddable and pluggable, allowing for seamless integration and consistent user experience.

Sophia is an open-source TypeScript platform designed for autonomous AI agents and LLM based workflows. It aims to automate processes, review code, assist with refactorings, and support various integrations. The platform offers features like advanced autonomous agents, reasoning/planning inspired by Google's Self-Discover paper, memory and function call history, adaptive iterative planning, and more. Sophia supports multiple LLMs/services, CLI and web interface, human-in-the-loop interactions, flexible deployment options, observability with OpenTelemetry tracing, and specific agents for code editing, software engineering, and code review. It provides a flexible platform for the TypeScript community to expand and support various use cases and integrations.

CAMEL is an open-source library designed for the study of autonomous and communicative agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

Rivet is a desktop application for creating complex AI agents and prompt chaining, and embedding it in your application. Rivet currently has LLM support for OpenAI GPT-3.5 and GPT-4, Anthropic Claude Instant and Claude 2, [Anthropic Claude 3 Haiku, Sonnet, and Opus](https://www.anthropic.com/news/claude-3-family), and AssemblyAI LeMUR framework for voice data. Rivet has embedding/vector database support for OpenAI Embeddings and Pinecone. Rivet also supports these additional integrations: Audio Transcription from AssemblyAI. Rivet core is a TypeScript library for running graphs created in Rivet. It is used by the Rivet application, but can also be used in your own applications, so that Rivet can call into your own application's code, and your application can call into Rivet graphs.

AutoGroq is a revolutionary tool that dynamically generates tailored teams of AI agents based on project requirements, eliminating manual configuration. It enables users to effortlessly tackle questions, problems, and projects by creating expert agents, workflows, and skillsets with ease and efficiency. With features like natural conversation flow, code snippet extraction, and support for multiple language models, AutoGroq offers a seamless and intuitive AI assistant experience for developers and users.

This GPT generates the best possible LLM-agents for your system prompts. You can also specify the model size, like 3B, 33B, 70B, etc.

A conductor of expert agents, guiding users to their goals

Have a large task to accomplish? AutoChatGPT will continually review and give itself new instructions to complete a task using expert agents.

I simulate tough Customer Support scenarios for Agent Training.

I am not affiliated with Bullhorn, nor do I have rights to this software. For this, please visit Bullhorn.com as they are the owner. The rights holders may ask me to remove this test bot.

Microsoft 365 support agent, redirects admin-level requests to PCT Support.

Prompt Engineer automatically enhances the prompt, autonomously reasons based on that prompt, and generates exceptional responses.

Plan

I'm AIKIARA, your new AI assistant. Feel free to ask: ✨Professional development 🔍 In-depth research 🎨 Creative ideas 📚 Educational Insights 💡Tech support, and much more.🌟

Self Discover: Self-Composing Reasoning Structures. A self-reflecting reasoning agent.

Assist employees at Roster in creating marketing copy, features, support docs, and more.

Expert in product return policies and consumer rights, with a focus on clarity and support.

ChatGPT به زبان فارسی

Te ajudo a construir seu pedido de prompt

I help you create your custom GPT for Whatsapp

Personnage du JDR "Le Fugitif"

Chat GPT di Catanzaro

A simulated web version of Apple's Siri, powered by GPT-4 by OpenAI.